DocumentCode :
1750943
Title :
Renewal of the causes by observed effects by means of fuzzy relations matrix and genetic algorithm
Author :
Rotshtein, Alexander ; Rakytyanska, Hanna
Author_Institution :
Industrial Engineering and Management Department, Jerusalem College of Technology - Machon Lev, Israel
Volume :
2
fYear :
2001
fDate :
25-28 July 2001
Firstpage :
703
Abstract :
Application of inverse logical inference in diagnostic expert systems is considered. Diagnosis decision finding requires fuzzy logical equation system solutions. The genetic algorithm for optimization based on crossover, mutation and selection of the initial set of chromosomes is proposed for fuzzy logical equation system solving. Computer simulation illustrates the algorithm efficiency. The suggested genetic algorithm can find application in expert systems for technical and medical diagnosis and quality control
Keywords :
diagnostic expert systems; diagnostic reasoning; fuzzy logic; fuzzy set theory; genetic algorithms; medical expert systems; uncertainty handling; chromosomes; computer simulation; crossover; diagnostic expert systems; fuzzy logic; fuzzy relations matrix; fuzzy set theory; genetic algorithm; inverse logical inference; medical diagnosis; mutation; optimization; quality control; selection; technical diagnosis; Application software; Biological cells; Computer simulation; Diagnostic expert systems; Equations; Fuzzy logic; Fuzzy sets; Fuzzy systems; Genetic algorithms; Genetic mutations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
Type :
conf
DOI :
10.1109/NAFIPS.2001.944688
Filename :
944688
Link To Document :
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